code: def forward(self, x):
      conditions = []
      for i, link in enumerate(self.children()):
          if i < self.n_deconvolutions:
              x = F.relu(link(x))
          else:
              conditions.append(link(x))
      return F.stack(conditions)
  
file_path: chainer/examples/wavenet/net.py
imports: import chainer
  import chainer.functions
  import chainer.links
  from modules import ResidualNet
label_desc: Use image node_id 2 for calling the UpsampleNet obj's underlying member method code with example usage: obj.forward(x) and returns: F